ArticleJournal of medical systems2019
Improving Clinic Operational Efficiency and Utilization with RTLS.
Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Real-time locating systems to improve healthcare delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Benchmarking Modern Day Pencil Beam Scanning Proton Therapy Treatment Times: Insights From Real Time Location Service Treatment Time Data.International journal of particle therapy · 2025Article
- Identifying and prioritizing inefficiency causes in Iran's health system.Cost effectiveness and resource allocation : C/E · 2024Article
- Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach.Health care management science · 2024Article
- Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence.Global journal on quality and safety in healthcare · 2024Article
- Suitability and Adaptability of a Real-Time Location System to Mitigate Item Loss in Dementia Care Facilities.Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society · 2024Article
- Surgical block 4.0: a digital intervention based on a real-time location patient-flow solution to support the automation of surgical pathways.Future healthcare journal · 2022Article
- Nursing Workflow Change in a COVID-19 Inpatient Unit Following the Deployment of Inpatient Telehealth: Observational Study Using a Real-Time Locating System.Journal of medical Internet research · 2022Observational
- Electronic hand hygiene monitoring systems are the wave of the future.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022Article
- Using a Real-Time Locating System to Evaluate the Impact of Telemedicine in an Emergency Department During COVID-19: Observational Study.Journal of medical Internet research · 2021Observational
- A Scoping Review of Health Information Technology in Clinician Burnout.Applied clinical informatics · 2021Article
- Improving Documentation Using a Real-Time Location System in a Pediatric Emergency Department.Applied clinical informatics · 2021Article
- Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals.Sensors (Basel, Switzerland) · 2019Article
- Improving Care Delivery: Location Timestamps to Enhance Process Measurement of a Clinical Workflow.Pediatric quality & safetyArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair historical utilization rates for the clinical space with scheduled provider and patient volumes to support scheduling decisions in an operationally flexible clinic design. These historical data are augmented with clinic staff observation logs to identify target utilization rates as well as high congestion levels. Results are presented for two approaches: one where utilization of clinical space is a key performance metric and another where the decision-maker may be risk averse toward the use of provider time and use a probabilistic approach to determine provider staffing levels.
Indexed as
Identifiers
30701407What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.